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15th International Symposium on Software Reliability Engineering (ISSRE'04)
Preliminary Results On Using Static Analysis Tools For Software Inspection
Saint-Malo, Bretagne, France
November 02-November 05
ISBN: 0-7695-2215-7
ASCII Text
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Nachiappan Nagappan, Laurie Williams, John Hudepohl, Will Snipes, Mladen Vouk, "Preliminary Results On Using Static Analysis Tools For Software Inspection," Software Reliability Engineering, International Symposium on, pp. 429-439, 15th International Symposium on Software Reliability Engineering (ISSRE'04), 2004.
 
 
BibTex
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@article{ 10.1109/ISSRE.2004.30,
author = {Nachiappan Nagappan and Laurie Williams and John Hudepohl and Will Snipes and Mladen Vouk},
title = {Preliminary Results On Using Static Analysis Tools For Software Inspection},
journal ={Software Reliability Engineering, International Symposium on},
volume = {0},
year = {2004},
issn = {1071-9458},
pages = {429-439},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISSRE.2004.30},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Reliability Engineering, International Symposium on
TI - Preliminary Results On Using Static Analysis Tools For Software Inspection
SN - 1071-9458
SP429
EP439
A1 - Nachiappan Nagappan,
A1 - Laurie Williams,
A1 - John Hudepohl,
A1 - Will Snipes,
A1 - Mladen Vouk,
PY - 2004
KW - null
VL - 0
JA - Software Reliability Engineering, International Symposium on
ER -
 
Nachiappan Nagappan, North Carolina State University, Raleigh, NC
Laurie Williams, North Carolina State University, Raleigh, NC
John Hudepohl, Nortel Networks, Software Dependability Design (SWDD), Research Triangle Park, NC
Will Snipes, Nortel Networks, Software Dependability Design (SWDD), Research Triangle Park, NC
Mladen Vouk, North Carolina State University, Raleigh, NC
Software inspection has been shown to be an effective defect removal practice, leading to higher quality software with lower field failures. Automated software inspection tools are emerging for identifying a subset of defects in a less labor-intensive manner than manual inspection. This paper investigates the use of automated inspection for a large-scale industrial software system at Nortel Networks. We propose and utilize a defect classification scheme for enumerating the types of defects that can be identified by automated inspections. Additionally, we demonstrate that automated code inspection faults can be used as efficient predictors of field failures and are effective for identifying fault-prone modules.
Citation:
Nachiappan Nagappan, Laurie Williams, John Hudepohl, Will Snipes, Mladen Vouk, "Preliminary Results On Using Static Analysis Tools For Software Inspection," issre, pp.429-439, 15th International Symposium on Software Reliability Engineering (ISSRE'04), 2004
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